{"id":"https://openalex.org/W2167056507","doi":"https://doi.org/10.1109/isda.2010.5687056","title":"Integrating Rough Set Theory and Particle Swarm Optimisation in feature selection","display_name":"Integrating Rough Set Theory and Particle Swarm Optimisation in feature selection","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2167056507","doi":"https://doi.org/10.1109/isda.2010.5687056","mag":"2167056507"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025930812","display_name":"Shuzlina Abdul-Rahman","orcid":"https://orcid.org/0000-0002-5498-9606"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuzlina Abdul-Rahman","raw_affiliation_strings":["Faculty of Information Science &Technology, Center of Artificial Intelligence Technology, Bangi, Selangor Darul Ehsan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science &Technology, Center of Artificial Intelligence Technology, Bangi, Selangor Darul Ehsan, Malaysia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042513462","display_name":"Zeti\u2010Azura Mohamed\u2010Hussein","orcid":"https://orcid.org/0000-0002-5386-7260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeti-Azura Mohamed-Hussein","raw_affiliation_strings":["School of Biosciences & Biotechnology, Faculty of Science & Technology, 43600 UKM Bangi, Selangor, Malaysia, 603-89215993"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biosciences & Biotechnology, Faculty of Science & Technology, 43600 UKM Bangi, Selangor, Malaysia, 603-89215993","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042883130","display_name":"Azuraliza Abu Bakar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azuraliza Abu Bakar","raw_affiliation_strings":["Faculty of Information Science &Technology, Center of Artificial Intelligence Technology, Bangi, Selangor Darul Ehsan, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Science &Technology, Center of Artificial Intelligence Technology, Bangi, Selangor Darul Ehsan, Malaysia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1009","last_page":"1014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9082000255584717,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7939964532852173},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7578431963920593},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6960240602493286},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6473585367202759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5971835255622864},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5911235809326172},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5629279613494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5607845187187195},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.53952556848526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.491854190826416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48446154594421387},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42970746755599976},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42717665433883667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3596538007259369}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7939964532852173},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7578431963920593},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6960240602493286},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6473585367202759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5971835255622864},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5911235809326172},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5629279613494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5607845187187195},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.53952556848526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.491854190826416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48446154594421387},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42970746755599976},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42717665433883667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3596538007259369},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2010.5687056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W192888295","https://openalex.org/W340465096","https://openalex.org/W969507161","https://openalex.org/W1480716458","https://openalex.org/W1502117513","https://openalex.org/W1505630141","https://openalex.org/W1523441626","https://openalex.org/W1593987601","https://openalex.org/W1611654170","https://openalex.org/W1888884532","https://openalex.org/W1892848734","https://openalex.org/W1963626514","https://openalex.org/W1972904341","https://openalex.org/W1976034104","https://openalex.org/W1983955072","https://openalex.org/W2029912695","https://openalex.org/W2030363461","https://openalex.org/W2059115408","https://openalex.org/W2073604948","https://openalex.org/W2096081771","https://openalex.org/W2102831150","https://openalex.org/W2109242547","https://openalex.org/W2119387367","https://openalex.org/W2153635508","https://openalex.org/W2156571267","https://openalex.org/W2162864159","https://openalex.org/W2164876762","https://openalex.org/W2982720039","https://openalex.org/W4255833381","https://openalex.org/W4285719527","https://openalex.org/W6607872630","https://openalex.org/W6636702687","https://openalex.org/W6682904970"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W1964260090","https://openalex.org/W2353240132","https://openalex.org/W1486178390","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W2018632273"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,22,37,59],"new":[4],"feature-selection":[5],"strategy":[6],"by":[7,57],"integrating":[8],"the":[9,28,46,52,71,81,88,95,101,107],"Rough":[10],"Set":[11],"Theory":[12],"(RST)":[13],"and":[14,41,75,105],"Particle":[15],"Swarm":[16],"Optimisation":[17],"(PSO)":[18],"algorithms":[19],"to":[20,50],"generate":[21],"set":[23,54],"of":[24,73,109],"discriminatory":[25],"features":[26],"for":[27,80],"classification":[29,76,103],"problem.":[30],"The":[31],"proposed":[32,96],"method":[33,84,97],"is":[34,48],"seen":[35],"as":[36],"marriage":[38],"between":[39],"filter":[40],"wrapper":[42],"approaches":[43],"in":[44],"which":[45],"RST":[47],"used":[49],"pre-reduce":[51],"feature":[53,110],"before":[55],"optimisation":[56],"PSO,":[58],"meta-heuristic":[60],"approach":[61],"using":[62,85],"Support":[63],"Vector":[64],"Machines":[65],"(SVMs).":[66],"Experimental":[67],"results,":[68],"based":[69],"on":[70],"number":[72,108],"reducts":[74],"accuracy,":[77],"were":[78],"compared":[79],"grid":[82],"search":[83],"data":[86],"from":[87],"Machine":[89],"Learning":[90],"Repository.":[91],"For":[92],"most":[93],"datasets,":[94],"statistically":[98],"significantly":[99],"improves":[100],"obtained":[102],"accuracy":[104],"reduces":[106],"subsets.":[111]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
